
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x)))
(t_1 (* (* t_0 t_0) t_0))
(t_2 (* (* t_1 t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+ (+ t_0 (* (/ 1.0 2.0) t_1)) (* (/ 3.0 4.0) t_2))
(* (/ 15.0 8.0) (* (* t_2 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (t_0 * t_0) * t_0 t_2 = (t_1 * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(t_0 * t_0) * t_0) t_2 = Float64(Float64(t_1 * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(1.0 / 2.0) * t_1)) + Float64(Float64(3.0 / 4.0) * t_2)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_2 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (t_0 * t_0) * t_0; t_2 = (t_1 * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(1.0 / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$2 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := \left(t\_0 \cdot t\_0\right) \cdot t\_0\\
t_2 := \left(t\_1 \cdot t\_0\right) \cdot t\_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(t\_0 + \frac{1}{2} \cdot t\_1\right) + \frac{3}{4} \cdot t\_2\right) + \frac{15}{8} \cdot \left(\left(t\_2 \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x)))
(t_1 (* (* t_0 t_0) t_0))
(t_2 (* (* t_1 t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+ (+ t_0 (* (/ 1.0 2.0) t_1)) (* (/ 3.0 4.0) t_2))
(* (/ 15.0 8.0) (* (* t_2 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (t_0 * t_0) * t_0 t_2 = (t_1 * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(t_0 * t_0) * t_0) t_2 = Float64(Float64(t_1 * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(1.0 / 2.0) * t_1)) + Float64(Float64(3.0 / 4.0) * t_2)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_2 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (t_0 * t_0) * t_0; t_2 = (t_1 * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(1.0 / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$2 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := \left(t\_0 \cdot t\_0\right) \cdot t\_0\\
t_2 := \left(t\_1 \cdot t\_0\right) \cdot t\_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(t\_0 + \frac{1}{2} \cdot t\_1\right) + \frac{3}{4} \cdot t\_2\right) + \frac{15}{8} \cdot \left(\left(t\_2 \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(*
(* (/ 1.0 (sqrt PI)) (pow (exp (+ x x)) (/ x 2.0)))
(/
(+
(- (/ (+ (/ 1.875 (* x x)) 0.75) (* (* (* x x) x) x)) -1.0)
(/ 0.5 (* x x)))
x)))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * pow(exp((x + x)), (x / 2.0))) * ((((((1.875 / (x * x)) + 0.75) / (((x * x) * x) * x)) - -1.0) + (0.5 / (x * x))) / x);
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp((x + x)), (x / 2.0))) * ((((((1.875 / (x * x)) + 0.75) / (((x * x) * x) * x)) - -1.0) + (0.5 / (x * x))) / x);
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp((x + x)), (x / 2.0))) * ((((((1.875 / (x * x)) + 0.75) / (((x * x) * x) * x)) - -1.0) + (0.5 / (x * x))) / x)
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(Float64(x + x)) ^ Float64(x / 2.0))) * Float64(Float64(Float64(Float64(Float64(Float64(1.875 / Float64(x * x)) + 0.75) / Float64(Float64(Float64(x * x) * x) * x)) - -1.0) + Float64(0.5 / Float64(x * x))) / x)) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * (exp((x + x)) ^ (x / 2.0))) * ((((((1.875 / (x * x)) + 0.75) / (((x * x) * x) * x)) - -1.0) + (0.5 / (x * x))) / x); end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[N[(x + x), $MachinePrecision]], $MachinePrecision], N[(x / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] - -1.0), $MachinePrecision] + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{x + x}\right)}^{\left(\frac{x}{2}\right)}\right) \cdot \frac{\left(\frac{\frac{1.875}{x \cdot x} + 0.75}{\left(\left(x \cdot x\right) \cdot x\right) \cdot x} - -1\right) + \frac{0.5}{x \cdot x}}{x}
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
lift-exp.f64N/A
lift-pow.f64N/A
sqr-powN/A
pow2N/A
pow-expN/A
unpow1N/A
metadata-evalN/A
sqrt-pow1N/A
pow2N/A
rem-sqrt-square-revN/A
unpow1N/A
metadata-evalN/A
sqrt-pow1N/A
pow2N/A
rem-sqrt-square-revN/A
pow-expN/A
exp-lft-sqr-revN/A
pow-expN/A
pow-expN/A
pow-prod-downN/A
lower-pow.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around -inf
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (sqrt (sqrt PI))) (t_1 (/ 1.0 (fabs x))))
(/
(*
(exp (* x x))
(fma
t_1
(/ (fma 1.875 (/ 1.0 (* x x)) 0.75) (* (* (* x x) x) x))
(* (+ (/ 0.5 (* x x)) 1.0) t_1)))
(* t_0 t_0))))
double code(double x) {
double t_0 = sqrt(sqrt(((double) M_PI)));
double t_1 = 1.0 / fabs(x);
return (exp((x * x)) * fma(t_1, (fma(1.875, (1.0 / (x * x)), 0.75) / (((x * x) * x) * x)), (((0.5 / (x * x)) + 1.0) * t_1))) / (t_0 * t_0);
}
function code(x) t_0 = sqrt(sqrt(pi)) t_1 = Float64(1.0 / abs(x)) return Float64(Float64(exp(Float64(x * x)) * fma(t_1, Float64(fma(1.875, Float64(1.0 / Float64(x * x)), 0.75) / Float64(Float64(Float64(x * x) * x) * x)), Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * t_1))) / Float64(t_0 * t_0)) end
code[x_] := Block[{t$95$0 = N[Sqrt[N[Sqrt[Pi], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(t$95$1 * N[(N[(1.875 * N[(1.0 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\sqrt{\pi}}\\
t_1 := \frac{1}{\left|x\right|}\\
\frac{e^{x \cdot x} \cdot \mathsf{fma}\left(t\_1, \frac{\mathsf{fma}\left(1.875, \frac{1}{x \cdot x}, 0.75\right)}{\left(\left(x \cdot x\right) \cdot x\right) \cdot x}, \left(\frac{0.5}{x \cdot x} + 1\right) \cdot t\_1\right)}{t\_0 \cdot t\_0}
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
lift-PI.f64N/A
lift-sqrt.f64N/A
add-sqr-sqrtN/A
lift-sqrt.f64N/A
lift-PI.f64N/A
lift-sqrt.f64N/A
lift-PI.f64N/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(/
(*
(fma
(/ (+ (/ 1.875 (* x x)) 0.75) (* (* (* x x) x) x))
(/ 1.0 x)
(* (+ (/ 0.5 (* x x)) 1.0) (/ 1.0 x)))
(exp (* x x)))
(sqrt PI)))
double code(double x) {
return (fma((((1.875 / (x * x)) + 0.75) / (((x * x) * x) * x)), (1.0 / x), (((0.5 / (x * x)) + 1.0) * (1.0 / x))) * exp((x * x))) / sqrt(((double) M_PI));
}
function code(x) return Float64(Float64(fma(Float64(Float64(Float64(1.875 / Float64(x * x)) + 0.75) / Float64(Float64(Float64(x * x) * x) * x)), Float64(1.0 / x), Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * Float64(1.0 / x))) * exp(Float64(x * x))) / sqrt(pi)) end
code[x_] := N[(N[(N[(N[(N[(N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] * N[(1.0 / x), $MachinePrecision] + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\frac{\frac{1.875}{x \cdot x} + 0.75}{\left(\left(x \cdot x\right) \cdot x\right) \cdot x}, \frac{1}{x}, \left(\frac{0.5}{x \cdot x} + 1\right) \cdot \frac{1}{x}\right) \cdot e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(*
(exp (* x x))
(/
(fma
(/ 0.75 (* (* (* x x) x) x))
(/ 1.0 x)
(* (+ (/ 0.5 (* x x)) 1.0) (/ 1.0 x)))
(sqrt PI))))
double code(double x) {
return exp((x * x)) * (fma((0.75 / (((x * x) * x) * x)), (1.0 / x), (((0.5 / (x * x)) + 1.0) * (1.0 / x))) / sqrt(((double) M_PI)));
}
function code(x) return Float64(exp(Float64(x * x)) * Float64(fma(Float64(0.75 / Float64(Float64(Float64(x * x) * x) * x)), Float64(1.0 / x), Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * Float64(1.0 / x))) / sqrt(pi))) end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(0.75 / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] * N[(1.0 / x), $MachinePrecision] + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{x \cdot x} \cdot \frac{\mathsf{fma}\left(\frac{0.75}{\left(\left(x \cdot x\right) \cdot x\right) \cdot x}, \frac{1}{x}, \left(\frac{0.5}{x \cdot x} + 1\right) \cdot \frac{1}{x}\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-plusN/A
pow3N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f6499.5
Applied rewrites99.5%
Applied rewrites99.5%
(FPCore (x) :precision binary64 (/ (* (exp (* x x)) (fma (pow x -7.0) 1.875 (/ (+ (/ 0.5 (* x x)) 1.0) x))) (sqrt PI)))
double code(double x) {
return (exp((x * x)) * fma(pow(x, -7.0), 1.875, (((0.5 / (x * x)) + 1.0) / x))) / sqrt(((double) M_PI));
}
function code(x) return Float64(Float64(exp(Float64(x * x)) * fma((x ^ -7.0), 1.875, Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / x))) / sqrt(pi)) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[Power[x, -7.0], $MachinePrecision] * 1.875 + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x} \cdot \mathsf{fma}\left({x}^{-7}, 1.875, \frac{\frac{0.5}{x \cdot x} + 1}{x}\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites99.4%
(FPCore (x) :precision binary64 (/ (* (fma (pow x -7.0) 1.875 (/ 1.0 x)) (exp (* x x))) (sqrt PI)))
double code(double x) {
return (fma(pow(x, -7.0), 1.875, (1.0 / x)) * exp((x * x))) / sqrt(((double) M_PI));
}
function code(x) return Float64(Float64(fma((x ^ -7.0), 1.875, Float64(1.0 / x)) * exp(Float64(x * x))) / sqrt(pi)) end
code[x_] := N[(N[(N[(N[Power[x, -7.0], $MachinePrecision] * 1.875 + N[(1.0 / x), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left({x}^{-7}, 1.875, \frac{1}{x}\right) \cdot e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.4%
(FPCore (x) :precision binary64 (/ (/ (exp (* x x)) x) (sqrt PI)))
double code(double x) {
return (exp((x * x)) / x) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (Math.exp((x * x)) / x) / Math.sqrt(Math.PI);
}
def code(x): return (math.exp((x * x)) / x) / math.sqrt(math.pi)
function code(x) return Float64(Float64(exp(Float64(x * x)) / x) / sqrt(pi)) end
function tmp = code(x) tmp = (exp((x * x)) / x) / sqrt(pi); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.4%
Taylor expanded in x around inf
lower-/.f64N/A
lower-exp.f64N/A
pow2N/A
lift-*.f6499.4
Applied rewrites99.4%
(FPCore (x) :precision binary64 (/ (/ 0.5 (* x x)) (* x (sqrt PI))))
double code(double x) {
return (0.5 / (x * x)) / (x * sqrt(((double) M_PI)));
}
public static double code(double x) {
return (0.5 / (x * x)) / (x * Math.sqrt(Math.PI));
}
def code(x): return (0.5 / (x * x)) / (x * math.sqrt(math.pi))
function code(x) return Float64(Float64(0.5 / Float64(x * x)) / Float64(x * sqrt(pi))) end
function tmp = code(x) tmp = (0.5 / (x * x)) / (x * sqrt(pi)); end
code[x_] := N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.5}{x \cdot x}}{x \cdot \sqrt{\pi}}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
associate-*r*N/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
pow2N/A
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
Applied rewrites1.9%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
associate-*l*N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-*.f641.9
Applied rewrites1.9%
Applied rewrites1.9%
(FPCore (x) :precision binary64 (/ 0.5 (* x (* x (* x (sqrt PI))))))
double code(double x) {
return 0.5 / (x * (x * (x * sqrt(((double) M_PI)))));
}
public static double code(double x) {
return 0.5 / (x * (x * (x * Math.sqrt(Math.PI))));
}
def code(x): return 0.5 / (x * (x * (x * math.sqrt(math.pi))))
function code(x) return Float64(0.5 / Float64(x * Float64(x * Float64(x * sqrt(pi))))) end
function tmp = code(x) tmp = 0.5 / (x * (x * (x * sqrt(pi)))); end
code[x_] := N[(0.5 / N[(x * N[(x * N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{x \cdot \left(x \cdot \left(x \cdot \sqrt{\pi}\right)\right)}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
associate-*r*N/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
pow2N/A
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
Applied rewrites1.9%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
associate-*l*N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-*.f641.9
Applied rewrites1.9%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-sqrt.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
lift-sqrt.f64N/A
lift-PI.f64N/A
lift-*.f641.9
Applied rewrites1.9%
herbie shell --seed 2025064
(FPCore (x)
:name "Jmat.Real.erfi, branch x greater than or equal to 5"
:precision binary64
:pre (>= x 0.5)
(* (* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x)))) (+ (+ (+ (/ 1.0 (fabs x)) (* (/ 1.0 2.0) (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))))) (* (/ 3.0 4.0) (* (* (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))))) (* (/ 15.0 8.0) (* (* (* (* (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x)))))))